概率论与数理统计

概率论与数理统计课程介绍理解数据意义的技能,具体内容包括优化、推断、测验、数据模式分析方法,以及使用分析方法来预测、理解和改进结果。

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掌握数据科学的基础数学技能和统计

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    關於 概率论与数理统计 的常見問題

  • Probability is the study of the likelihood an event will happen, and statistics is the analysis of large datasets, usually with the goal of either usefully describing this data or inferring conclusions about a larger dataset based on a representative sample. These two branches of mathematics can be considered two sides of a coin: statistics help you to understand the past, and probability helps you use that knowledge to predict the future!

    Statistics and probability are essential tools for data science. These skills enable you to determine whether your data collection methods are sound, derive relevant insights from massive datasets, build analytic models that produce usable results, and much more. Important concepts and skills in the data science context include sampling distributions, statistical significance, hypothesis testing, and regression analysis.